Job description
Machine learning Engineer who is passionate about developing models to determine the insights of the data distribution.
Capability to visualize the output, extensive knowledge of ML frameworks, libraries, data structures, data modeling.
Ability to understand business problems, with data to identify the meaningful patterns and insights.
Technical Skills Required:
Deep Knowledge in Descriptive Statistics.
Understanding of Regression, Classifier Model.
Deep Knowledge of various algorithms like Logistic Regression, Decision Tree, Random Forest, Bagging, Boosting.
Knowledge on Deep Learning Neural Networks.
Computer Vision based algorithm would be a Plus like CNN.
Knowledge on working with pre-trained model like REnet, AlexNet,Vgg16, UNET would be a Plus.
Knowledge in Model Deployment in Production would be a Plus.
Understanding of Basic Database object.
REST API Development to productionize the model.
Developing AI/ML based Chatbot would be a Plus.
Roles & Responsibilities:
Understand the complete requirement.
Study and analyze the insights in the data.
Perform statistical analysis and to see the basic output.
Impute the necessary data to create a more robust dataset.
Research and implement appropriate ML algorithms.
Develop machine learning applications according to requirements.
Run machine learning tests and experiments.
Train and retrain systems when necessary.
Extend existing ML libraries and frameworks.